Hostname: page-component-848d4c4894-tn8tq Total loading time: 0 Render date: 2024-07-02T14:42:01.708Z Has data issue: false hasContentIssue false

Yield Loss Assessment for Spring Wheat (Triticum aestivum) Infested with Canada Thistle (Cirsium arvense)

Published online by Cambridge University Press:  12 June 2017

William W. Donald
Affiliation:
Cropping Systems and Water Quality Res. Unit, USDA-ARS, 244 Agric. Engr. Bldg., UMC, Columbia, MO 65211
Mohammad Khan
Affiliation:
Agric. Res. Inst., Tarnab (Peshawar) NWFP, Pakistan

Abstract

In eight of nine trials spanning 5 yr, relative yield of semidwarf hard red spring wheat (yield expressed as a percent of estimated weed-free yield) decreased linearly as Canada thistle shoot density increased when measured in late July to early August in the northern Great Plains. Differences between yield loss assessment (YLA) equations could not be distinguished statistically between no-tillage and chisel-plowed production systems. Multiple linear regression equations of relative wheat yield versus wheat density plus Canada thistle shoot density accounted for more variability in YLA equations than simple linear regression equations of wheat yield versus Canada thistle shoot density alone. Estimated weed-free wheat yield and negative slope (b) for yield loss assessment equations increased as cumulative growing-season (April to August) rainfall increased. Thus, relative wheat yield was decreased more by increasing Canada thistle density (slope b became more negative) in years of greater growing-season rainfall.

Type
Weed Control and Herbicide Technology
Copyright
Copyright © 1992 by the Weed Science Society of America 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Literature Cited

1. Cousens, R. 1985. An empirical model relating crop yield to weed and crop density and a statistical comparison with other models. J. Agric. Sci. 105:513521.Google Scholar
2. Donald, W. W. 1990. Sulfonylurea herbicides. Pages 423477 in Donald, W. W., ed. Systems of Weed Control in Wheat in North America. Weed Sci. Soc. Am., Champaign, IL.Google Scholar
3. Donald, W. W. 1990. Management and control of Canada thistle (Cirsium arvense). Rev. Weed Sci. 5:193250.Google Scholar
4. Donald, W. W. and Prato, T. 1992. Efficacy and economics of herbicides for Canada thistle (Cirsium arvense) control in no-till spring wheat (Triticum aestivum). Weed Sci. 40:233240.Google Scholar
5. Donald, W. W. and Prato, T. 1992. Efficacy and economics of sequences of fall- and in-crop-applied herbicides for Canada thistle (Cirsium arvense) control in spring wheat (Triticum aestivum). Can. J. Plant Sci. 72:599618.Google Scholar
6. Hodgson, J. M. 1968. The nature, ecology, and control of Canada thistle. U. S. Dep. Agric. Tech. Bull. 1386. 32 pp.Google Scholar
7. Hume, L. 1985. Crop losses in wheat (Triticum aestivum) as determined using weeded and nonweeded quadrats. Weed Sci. 33:734740.Google Scholar
8. Kleinbaum, D. G. and Kupper, L. L. 1978. Pages 101102 in Applied Regression Analysis and Other Multivariate Methods. Duxbury Press, North Scituate, MA.Google Scholar
9. Moore, R. J. and Frankton, C. 1974. The Thistles of Canada. Can. Dep. Agric. Monogr. 10.Google Scholar
10. O'Sullivan, P. A. 1990. Diclofop. Pages 321346 in Donald, W. W., ed. Systems of Weed Control in Wheat in North America. Weed Sci. Soc. Am., Champaign, IL.Google Scholar
11. O'Sullivan, P. A., Kossatz, V. C., Weiss, G. M., and Dew, D. A. 1982. An approach to estimating yield loss of barley due to Canada thistle. Can. J. Plant Sci. 62:725731.Google Scholar
12. Peschken, D. P., Hunter, J. H., and Thomas, A. G. 1980. Damage in dollars caused by Canada thistle in wheat in Saskatchewan. Page 3743 in Canada Thistle Symp. Agric. Can., Regina Res. Stn. Google Scholar
13. Sokal, R. R. and Rohlf, F. J. 1969. Pages 1619 in Biometry. The Principles and Practice of Statistics in Biological Research. W. H. Freeman and Co., San Francisco.Google Scholar
14. SPSS Inc. 1990. Pages B94B97 in SPSS/PC+ Statistics 4.0 for the IBM PC/XT/AT and PS/2. SPSS, Inc., Chicago, IL.Google Scholar
15. Teng, P. S. 1987. Crop Loss Assessment and Pest Management. American Phytopathology Society Press, St. Paul, MN. 270 pp.Google Scholar
16. Zimdahl, R. L. 1980. Weed-Crop Competition, a Review. Int. Plant Prot. Ctr., Oregon State Univ., Corvallis. 195 pp.Google Scholar